Sharing aware snoop filter apparatus and method

ABSTRACT

An apparatus and method are described for a sharing aware snoop filter. For example, one embodiment of a processor comprises: a plurality of caches, each of the caches comprising a plurality of cache lines, at least some of which are to be shared by two or more of the caches; a snoop filter to monitor accesses to the plurality of cache lines shared by the two or more caches, the snoop filter comprising: a primary snoop filter comprising a first plurality of entries, each entry associated with one of the plurality of cache lines and comprising a N unique identifiers to uniquely identify up to N of the plurality of caches currently storing the cache line; an auxiliary snoop filter comprising a second plurality of entries, each entry associated with one of the plurality of cache lines, wherein once a particular cache line has been shared by more than N caches, an entry for that cache line is allocated in the auxiliary snoop filter to uniquely identify one or more additional caches storing the cache line.

BACKGROUND Field of the Invention

This invention relates generally to the field of computer processors.More particularly, the invention relates to a sharing aware snoop filterapparatus and method.

Description of the Related Art

1. Processor Microarchitectures

An instruction set, or instruction set architecture (ISA), is the partof the computer architecture related to programming, including thenative data types, instructions, register architecture, addressingmodes, memory architecture, interrupt and exception handling, andexternal input and output (I/O). It should be noted that the term“instruction” generally refers herein to macro-instructions—that isinstructions that are provided to the processor for execution—as opposedto micro-instructions or micro-ops—that is the result of a processor'sdecoder decoding macro-instructions. The micro-instructions or micro-opscan be configured to instruct an execution unit on the processor toperform operations to implement the logic associated with themacro-instruction.

The ISA is distinguished from the microarchitecture, which is the set ofprocessor design techniques used to implement the instruction set.Processors with different microarchitectures can share a commoninstruction set. For example, Intel® Pentium 4 processors, Intel® Core™processors, and processors from Advanced Micro Devices, Inc. ofSunnyvale Calif. implement nearly identical versions of the x86instruction set (with some extensions that have been added with newerversions), but have different internal designs. For example, the sameregister architecture of the ISA may be implemented in different ways indifferent microarchitectures using well-known techniques, includingdedicated physical registers, one or more dynamically allocated physicalregisters using a register renaming mechanism (e.g., the use of aRegister Alias Table (RAT), a Reorder Buffer (ROB) and a retirementregister file). Unless otherwise specified, the phrases registerarchitecture, register file, and register are used herein to refer tothat which is visible to the software/programmer and the manner in whichinstructions specify registers. Where a distinction is required, theadjective “logical,” “architectural,” or “software visible” will be usedto indicate registers/files in the register architecture, whiledifferent adjectives will be used to designate registers in a givenmicroarchitecture (e.g., physical register, reorder buffer, retirementregister, register pool).

2. Snoop Filters

The snoop filter (SF), also known as a “tag-directory,” is an on-diestructure that tracks the presence of cache lines in the differentlevels of the cache hierarchy across the tiles on a die. The term“tiles” is used here to represent an agent that has a cache associatedwith it and accesses memory via an intra-die interconnection network. Atile, for example, can be associated with a single core, multiple cores,accelerators and/or I/O agents. Cache line tracking in the SF is doneusing presence bits, known as core-valid bits (CV bits), and helpsmaintain coherence for data streams and instruction streams across thecaches. To reduce the area occupied by the SF, the tracking bits in eachentry follow an encoded pattern. For every cached line up to two uniquesharers of the line can be tracked perfectly, i.e., their exact identityis stored in the SF entry. If a cache line is shared by more than 2caches however it is tracked in a coarse-grained manner with each CV bitused to represent multiple caches/tiles. As the number of tiles (andhence caches) on the die increase the level of coarse-grained encodingused for the CV bits has also been steadily increasing (from one bitrepresenting 1 tile to one bit representing 6 or more tiles). Thiscoarse-grained representation leads to CV bit aliasing whereby a corewhich never accesses a line can appear as currently caching it.

The CV bit aliasing outlined above can lead to the followinginefficiencies in the coherence protocol. First, aliased CV bits cancause multiple spurious messages being sent out on the intra-dieinterconnect network leading to performance loss, extra network messagesand energy usage. For example read-for-ownership requests and capacityevictions from the SF, which send invalidate messages based on thenumber of CV bits set in the SF, will send unnecessary invalidations tocores that never even cached the address and cause extra acknowledgementmessages. Second, due to the aliased nature of CV bits for widely sharedlines, evictions from the core caches are unable to clear the CV bitthat represents them in the SF, leading to stale entries (i.e., entrieswhich are no longer required but still have valid bits). In order tocounter this problem certain processors provision the SF to be largerthan the capacity of the on-die caches so that back-invalidations fromthe SF do not incur a performance loss. As applications become moremulti-threaded and more cores are integrated on-die this problem isexpected to be exacerbated. While all application segments with parallelcodes could be impacted by this problem, high-performance computing(HPC) in particular is a key target for this inefficiency as it tends touse many parallel threads.

BRIEF DESCRIPTION OF THE DRAWINGS

A better understanding of the present invention can be obtained from thefollowing detailed description in conjunction with the followingdrawings, in which:

FIGS. 1A and 1B are block diagrams illustrating a generic vectorfriendly instruction format and instruction templates thereof accordingto embodiments of the invention;

FIG. 2A-D is a block diagram illustrating an exemplary specific vectorfriendly instruction format according to embodiments of the invention;

FIG. 3 is a block diagram of a register architecture according to oneembodiment of the invention; and

FIG. 4A is a block diagram illustrating both an exemplary in-orderfetch, decode, retire pipeline and an exemplary register renaming,out-of-order issue/execution pipeline according to embodiments of theinvention;

FIG. 4B is a block diagram illustrating both an exemplary embodiment ofan in-order fetch, decode, retire core and an exemplary registerrenaming, out-of-order issue/execution architecture core to be includedin a processor according to embodiments of the invention;

FIG. 5A is a block diagram of a single processor core, along with itsconnection to an on-die interconnect network;

FIG. 5B illustrates an expanded view of part of the processor core inFIG. 5A according to embodiments of the invention;

FIG. 6 is a block diagram of a single core processor and a multicoreprocessor with integrated memory controller and graphics according toembodiments of the invention;

FIG. 7 illustrates a block diagram of a system in accordance with oneembodiment of the present invention;

FIG. 8 illustrates a block diagram of a second system in accordance withan embodiment of the present invention;

FIG. 9 illustrates a block diagram of a third system in accordance withan embodiment of the present invention;

FIG. 10 illustrates a block diagram of a system on a chip (SoC) inaccordance with an embodiment of the present invention;

FIG. 11 illustrates a block diagram contrasting the use of a softwareinstruction converter to convert binary instructions in a sourceinstruction set to binary instructions in a target instruction setaccording to embodiments of the invention;

FIGS. 12A-B illustrate exemplary snoop filter operations;

FIG. 13 illustrates exemplary percentages of cache lines having greaterthan 2 sharers for different applications;

FIG. 14 illustrates frequency of accesses to shared data for aparticular HPC application;

FIG. 15 illustrates one embodiment of a processor architecture on whicha sharing aware snoop filter may be implemented;

FIGS. 16A-B illustrate two embodiments of a sharing aware snoop filter;and

FIG. 17 illustrates a method in accordance with one embodiment of theinvention.

DETAILED DESCRIPTION

In the following description, for the purposes of explanation, numerousspecific details are set forth in order to provide a thoroughunderstanding of the embodiments of the invention described below. Itwill be apparent, however, to one skilled in the art that theembodiments of the invention may be practiced without some of thesespecific details. In other instances, well-known structures and devicesare shown in block diagram form to avoid obscuring the underlyingprinciples of the embodiments of the invention.

Exemplary Processor Architectures and Data Types

An instruction set includes one or more instruction formats. A giveninstruction format defines various fields (number of bits, location ofbits) to specify, among other things, the operation to be performed(opcode) and the operand(s) on which that operation is to be performed.Some instruction formats are further broken down though the definitionof instruction templates (or subformats). For example, the instructiontemplates of a given instruction format may be defined to have differentsubsets of the instruction format's fields (the included fields aretypically in the same order, but at least some have different bitpositions because there are less fields included) and/or defined to havea given field interpreted differently. Thus, each instruction of an ISAis expressed using a given instruction format (and, if defined, in agiven one of the instruction templates of that instruction format) andincludes fields for specifying the operation and the operands. Forexample, an exemplary ADD instruction has a specific opcode and aninstruction format that includes an opcode field to specify that opcodeand operand fields to select operands (source1/destination and source2);and an occurrence of this ADD instruction in an instruction stream willhave specific contents in the operand fields that select specificoperands. A set of SIMD extensions referred to the Advanced VectorExtensions (AVX) (AVX1 and AVX2) and using the Vector Extensions (VEX)coding scheme, has been released and/or published (e.g., see Intel® 64and IA-32 Architectures Software Developers Manual, October 2011; andsee Intel® Advanced Vector Extensions Programming Reference, June 2011).

Exemplary Instruction Formats

Embodiments of the instruction(s) described herein may be embodied indifferent formats. Additionally, exemplary systems, architectures, andpipelines are detailed below. Embodiments of the instruction(s) may beexecuted on such systems, architectures, and pipelines, but are notlimited to those detailed.

A. Generic Vector Friendly Instruction Format

A vector friendly instruction format is an instruction format that issuited for vector instructions (e.g., there are certain fields specificto vector operations). While embodiments are described in which bothvector and scalar operations are supported through the vector friendlyinstruction format, alternative embodiments use only vector operationsthe vector friendly instruction format.

FIGS. 1A-1B are block diagrams illustrating a generic vector friendlyinstruction format and instruction templates thereof according toembodiments of the invention. FIG. 1A is a block diagram illustrating ageneric vector friendly instruction format and class A instructiontemplates thereof according to embodiments of the invention; while FIG.1B is a block diagram illustrating the generic vector friendlyinstruction format and class B instruction templates thereof accordingto embodiments of the invention. Specifically, a generic vector friendlyinstruction format 100 for which are defined class A and class Binstruction templates, both of which include no memory access 105instruction templates and memory access 120 instruction templates. Theterm generic in the context of the vector friendly instruction formatrefers to the instruction format not being tied to any specificinstruction set.

While embodiments of the invention will be described in which the vectorfriendly instruction format supports the following: a 64 byte vectoroperand length (or size) with 32 bit (4 byte) or 64 bit (8 byte) dataelement widths (or sizes) (and thus, a 64 byte vector consists of either16 doubleword-size elements or alternatively, 8 quadword-size elements);a 64 byte vector operand length (or size) with 16 bit (2 byte) or 8 bit(1 byte) data element widths (or sizes); a 32 byte vector operand length(or size) with 32 bit (4 byte), 64 bit (8 byte), 16 bit (2 byte), or 8bit (1 byte) data element widths (or sizes); and a 16 byte vectoroperand length (or size) with 32 bit (4 byte), 64 bit (8 byte), 16 bit(2 byte), or 8 bit (1 byte) data element widths (or sizes); alternativeembodiments may support more, less and/or different vector operand sizes(e.g., 256 byte vector operands) with more, less, or different dataelement widths (e.g., 128 bit (16 byte) data element widths).

The class A instruction templates in FIG. 1A include: 1) within the nomemory access 105 instruction templates there is shown a no memoryaccess, full round control type operation 110 instruction template and ano memory access, data transform type operation 115 instructiontemplate; and 2) within the memory access 120 instruction templatesthere is shown a memory access, temporal 125 instruction template and amemory access, non-temporal 130 instruction template. The class Binstruction templates in FIG. 1B include: 1) within the no memory access105 instruction templates there is shown a no memory access, write maskcontrol, partial round control type operation 112 instruction templateand a no memory access, write mask control, vsize type operation 117instruction template; and 2) within the memory access 120 instructiontemplates there is shown a memory access, write mask control 127instruction template.

The generic vector friendly instruction format 100 includes thefollowing fields listed below in the order illustrated in FIGS. 1A-1B.

Format field 140—a specific value (an instruction format identifiervalue) in this field uniquely identifies the vector friendly instructionformat, and thus occurrences of instructions in the vector friendlyinstruction format in instruction streams. As such, this field isoptional in the sense that it is not needed for an instruction set thathas only the generic vector friendly instruction format.

Base operation field 142—its content distinguishes different baseoperations.

Register index field 144—its content, directly or through addressgeneration, specifies the locations of the source and destinationoperands, be they in registers or in memory. These include a sufficientnumber of bits to select N registers from a P×Q (e.g. 32×512, 16×128,32×1024, 64×1024) register file. While in one embodiment N may be up tothree sources and one destination register, alternative embodiments maysupport more or less sources and destination registers (e.g., maysupport up to two sources where one of these sources also acts as thedestination, may support up to three sources where one of these sourcesalso acts as the destination, may support up to two sources and onedestination).

Modifier field 146—its content distinguishes occurrences of instructionsin the generic vector instruction format that specify memory access fromthose that do not; that is, between no memory access 105 instructiontemplates and memory access 120 instruction templates. Memory accessoperations read and/or write to the memory hierarchy (in some casesspecifying the source and/or destination addresses using values inregisters), while non-memory access operations do not (e.g., the sourceand destinations are registers). While in one embodiment this field alsoselects between three different ways to perform memory addresscalculations, alternative embodiments may support more, less, ordifferent ways to perform memory address calculations.

Augmentation operation field 150—its content distinguishes which one ofa variety of different operations to be performed in addition to thebase operation. This field is context specific. In one embodiment of theinvention, this field is divided into a class field 168, an alpha field152, and a beta field 154. The augmentation operation field 150 allowscommon groups of operations to be performed in a single instructionrather than 2, 3, or 4 instructions.

Scale field 160—its content allows for the scaling of the index field'scontent for memory address generation (e.g., for address generation thatuses 2^(scale)*index+base).

Displacement Field 162—its content is used as part of memory addressgeneration (e.g., for address generation that uses2^(scale)*index+base+displacement).

Displacement Factor Field 162B (note that the juxtaposition ofdisplacement field 162A directly over displacement factor field 162Bindicates one or the other is used)—its content is used as part ofaddress generation; it specifies a displacement factor that is to bescaled by the size of a memory access (N)—where N is the number of bytesin the memory access (e.g., for address generation that uses2^(scale)*index+base+scaled displacement). Redundant low-order bits areignored and hence, the displacement factor field's content is multipliedby the memory operands total size (N) in order to generate the finaldisplacement to be used in calculating an effective address. The valueof N is determined by the processor hardware at runtime based on thefull opcode field 174 (described later herein) and the data manipulationfield 154C. The displacement field 162A and the displacement factorfield 162B are optional in the sense that they are not used for the nomemory access 105 instruction templates and/or different embodiments mayimplement only one or none of the two.

Data element width field 164—its content distinguishes which one of anumber of data element widths is to be used (in some embodiments for allinstructions; in other embodiments for only some of the instructions).This field is optional in the sense that it is not needed if only onedata element width is supported and/or data element widths are supportedusing some aspect of the opcodes.

Write mask field 170—its content controls, on a per data elementposition basis, whether that data element position in the destinationvector operand reflects the result of the base operation andaugmentation operation. Class A instruction templates supportmerging-writemasking, while class B instruction templates support bothmerging- and zeroing-writemasking. When merging, vector masks allow anyset of elements in the destination to be protected from updates duringthe execution of any operation (specified by the base operation and theaugmentation operation); in other one embodiment, preserving the oldvalue of each element of the destination where the corresponding maskbit has a 0. In contrast, when zeroing vector masks allow any set ofelements in the destination to be zeroed during the execution of anyoperation (specified by the base operation and the augmentationoperation); in one embodiment, an element of the destination is set to 0when the corresponding mask bit has a 0 value. A subset of thisfunctionality is the ability to control the vector length of theoperation being performed (that is, the span of elements being modified,from the first to the last one); however, it is not necessary that theelements that are modified be consecutive. Thus, the write mask field170 allows for partial vector operations, including loads, stores,arithmetic, logical, etc. While embodiments of the invention aredescribed in which the write mask field's 170 content selects one of anumber of write mask registers that contains the write mask to be used(and thus the write mask field's 170 content indirectly identifies thatmasking to be performed), alternative embodiments instead or additionalallow the mask write field's 170 content to directly specify the maskingto be performed.

Immediate field 172—its content allows for the specification of animmediate. This field is optional in the sense that is it not present inan implementation of the generic vector friendly format that does notsupport immediate and it is not present in instructions that do not usean immediate.

Class field 168—its content distinguishes between different classes ofinstructions. With reference to FIGS. 1A-B, the contents of this fieldselect between class A and class B instructions. In FIGS. 1 A-B, roundedcorner squares are used to indicate a specific value is present in afield (e.g., class A 168A and class B 168B for the class field 168respectively in FIGS. 1A-B).

Instruction Templates of Class A

In the case of the non-memory access 105 instruction templates of classA, the alpha field 152 is interpreted as an RS field 152A, whose contentdistinguishes which one of the different augmentation operation typesare to be performed (e.g., round 152A.1 and data transform 152A.2 arerespectively specified for the no memory access, round type operation110 and the no memory access, data transform type operation 115instruction templates), while the beta field 154 distinguishes which ofthe operations of the specified type is to be performed. In the nomemory access 105 instruction templates, the scale field 160, thedisplacement field 162A, and the displacement scale filed 162B are notpresent.

No-Memory Access Instruction Templates—Full Round Control Type Operation

In the no memory access full round control type operation 110instruction template, the beta field 154 is interpreted as a roundcontrol field 154A, whose content(s) provide static rounding. While inthe described embodiments of the invention the round control field 154Aincludes a suppress all floating point exceptions (SAE) field 156 and around operation control field 158, alternative embodiments may supportmay encode both these concepts into the same field or only have one orthe other of these concepts/fields (e.g., may have only the roundoperation control field 158).

SAE field 156—its content distinguishes whether or not to disable theexception event reporting; when the SAE field's 156 content indicatessuppression is enabled, a given instruction does not report any kind offloating-point exception flag and does not raise any floating pointexception handler.

Round operation control field 158—its content distinguishes which one ofa group of rounding operations to perform (e.g., Round-up, Round-down,Round-towards-zero and Round-to-nearest). Thus, the round operationcontrol field 158 allows for the changing of the rounding mode on a perinstruction basis. In one embodiment of the invention where a processorincludes a control register for specifying rounding modes, the roundoperation control field's 150 content overrides that register value.

No Memory Access Instruction Templates—Data Transform Type Operation

In the no memory access data transform type operation 115 instructiontemplate, the beta field 154 is interpreted as a data transform field1546, whose content distinguishes which one of a number of datatransforms is to be performed (e.g., no data transform, swizzle,broadcast).

In the case of a memory access 120 instruction template of class A, thealpha field 152 is interpreted as an eviction hint field 152B, whosecontent distinguishes which one of the eviction hints is to be used (inFIG. 1A, temporal 152B.1 and non-temporal 152B.2 are respectivelyspecified for the memory access, temporal 125 instruction template andthe memory access, non-temporal 130 instruction template), while thebeta field 154 is interpreted as a data manipulation field 154C, whosecontent distinguishes which one of a number of data manipulationoperations (also known as primitives) is to be performed (e.g., nomanipulation; broadcast; up conversion of a source; and down conversionof a destination). The memory access 120 instruction templates includethe scale field 160, and optionally the displacement field 162A or thedisplacement scale field 162B.

Vector memory instructions perform vector loads from and vector storesto memory, with conversion support. As with regular vector instructions,vector memory instructions transfer data from/to memory in a dataelement-wise fashion, with the elements that are actually transferred isdictated by the contents of the vector mask that is selected as thewrite mask.

Memory Access Instruction Templates—Temporal

Temporal data is data likely to be reused soon enough to benefit fromcaching. This is, however, a hint, and different processors mayimplement it in different ways, including ignoring the hint entirely.

Memory Access Instruction Templates—Non-Temporal

Non-temporal data is data unlikely to be reused soon enough to benefitfrom caching in the 1st-level cache and should be given priority foreviction. This is, however, a hint, and different processors mayimplement it in different ways, including ignoring the hint entirely.

Instruction Templates of Class B

In the case of the instruction templates of class B, the alpha field 152is interpreted as a write mask control (Z) field 152C, whose contentdistinguishes whether the write masking controlled by the write maskfield 170 should be a merging or a zeroing.

In the case of the non-memory access 105 instruction templates of classB, part of the beta field 154 is interpreted as an RL field 157A, whosecontent distinguishes which one of the different augmentation operationtypes are to be performed (e.g., round 157A.1 and vector length (VSIZE)157A.2 are respectively specified for the no memory access, write maskcontrol, partial round control type operation 112 instruction templateand the no memory access, write mask control, VSIZE type operation 117instruction template), while the rest of the beta field 154distinguishes which of the operations of the specified type is to beperformed. In the no memory access 105 instruction templates, the scalefield 160, the displacement field 162A, and the displacement scale filed162B are not present.

In the no memory access, write mask control, partial round control typeoperation 110 instruction template, the rest of the beta field 154 isinterpreted as a round operation field 159A and exception eventreporting is disabled (a given instruction does not report any kind offloating-point exception flag and does not raise any floating pointexception handler).

Round operation control field 159A—just as round operation control field158, its content distinguishes which one of a group of roundingoperations to perform (e.g., Round-up, Round-down, Round-towards-zeroand Round-to-nearest). Thus, the round operation control field 159Aallows for the changing of the rounding mode on a per instruction basis.In one embodiment of the invention where a processor includes a controlregister for specifying rounding modes, the round operation controlfield's 150 content overrides that register value.

In the no memory access, write mask control, VSIZE type operation 117instruction template, the rest of the beta field 154 is interpreted as avector length field 159B, whose content distinguishes which one of anumber of data vector lengths is to be performed on (e.g., 128, 256, or512 byte).

In the case of a memory access 120 instruction template of class B, partof the beta field 154 is interpreted as a broadcast field 157B, whosecontent distinguishes whether or not the broadcast type datamanipulation operation is to be performed, while the rest of the betafield 154 is interpreted the vector length field 159B. The memory access120 instruction templates include the scale field 160, and optionallythe displacement field 162A or the displacement scale field 162B.

With regard to the generic vector friendly instruction format 100, afull opcode field 174 is shown including the format field 140, the baseoperation field 142, and the data element width field 164. While oneembodiment is shown where the full opcode field 174 includes all ofthese fields, the full opcode field 174 includes less than all of thesefields in embodiments that do not support all of them. The full opcodefield 174 provides the operation code (opcode).

The augmentation operation field 150, the data element width field 164,and the write mask field 170 allow these features to be specified on aper instruction basis in the generic vector friendly instruction format.

The combination of write mask field and data element width field createtyped instructions in that they allow the mask to be applied based ondifferent data element widths.

The various instruction templates found within class A and class B arebeneficial in different situations. In some embodiments of theinvention, different processors or different cores within a processormay support only class A, only class B, or both classes. For instance, ahigh performance general purpose out-of-order core intended forgeneral-purpose computing may support only class B, a core intendedprimarily for graphics and/or scientific (throughput) computing maysupport only class A, and a core intended for both may support both (ofcourse, a core that has some mix of templates and instructions from bothclasses but not all templates and instructions from both classes iswithin the purview of the invention). Also, a single processor mayinclude multiple cores, all of which support the same class or in whichdifferent cores support different class. For instance, in a processorwith separate graphics and general purpose cores, one of the graphicscores intended primarily for graphics and/or scientific computing maysupport only class A, while one or more of the general purpose cores maybe high performance general purpose cores with out of order executionand register renaming intended for general-purpose computing thatsupport only class B. Another processor that does not have a separategraphics core, may include one more general purpose in-order orout-of-order cores that support both class A and class B. Of course,features from one class may also be implement in the other class indifferent embodiments of the invention. Programs written in a high levellanguage would be put (e.g., just in time compiled or staticallycompiled) into an variety of different executable forms, including: 1) aform having only instructions of the class(es) supported by the targetprocessor for execution; or 2) a form having alternative routineswritten using different combinations of the instructions of all classesand having control flow code that selects the routines to execute basedon the instructions supported by the processor which is currentlyexecuting the code.

B. Exemplary Specific Vector Friendly Instruction Format

FIG. 2 is a block diagram illustrating an exemplary specific vectorfriendly instruction format according to embodiments of the invention.FIG. 2 shows a specific vector friendly instruction format 200 that isspecific in the sense that it specifies the location, size,interpretation, and order of the fields, as well as values for some ofthose fields. The specific vector friendly instruction format 200 may beused to extend the x86 instruction set, and thus some of the fields aresimilar or the same as those used in the existing x86 instruction setand extension thereof (e.g., AVX). This format remains consistent withthe prefix encoding field, real opcode byte field, MOD R/M field, SIBfield, displacement field, and immediate fields of the existing x86instruction set with extensions. The fields from FIG. 1 into which thefields from FIG. 2 map are illustrated.

It should be understood that, although embodiments of the invention aredescribed with reference to the specific vector friendly instructionformat 200 in the context of the generic vector friendly instructionformat 100 for illustrative purposes, the invention is not limited tothe specific vector friendly instruction format 200 except whereclaimed. For example, the generic vector friendly instruction format 100contemplates a variety of possible sizes for the various fields, whilethe specific vector friendly instruction format 200 is shown as havingfields of specific sizes. By way of specific example, while the dataelement width field 164 is illustrated as a one bit field in thespecific vector friendly instruction format 200, the invention is not solimited (that is, the generic vector friendly instruction format 100contemplates other sizes of the data element width field 164).

The generic vector friendly instruction format 100 includes thefollowing fields listed below in the order illustrated in FIG. 2A.

EVEX Prefix (Bytes 0-3) 202—is encoded in a four-byte form.

Format Field 140 (EVEX Byte 0, bits [7:0])—the first byte (EVEX Byte 0)is the format field 140 and it contains 0×62 (the unique value used fordistinguishing the vector friendly instruction format in one embodimentof the invention).

The second-fourth bytes (EVEX Bytes 1-3) include a number of bit fieldsproviding specific capability.

REX field 205 (EVEX Byte 1, bits [7-5])—consists of a EVEX.R bit field(EVEX Byte 1, bit [7]-R), EVEX.X bit field (EVEX byte 1, bit [6]-X), and157BEX byte 1, bit[5]-B). The EVEX.R, EVEX.X, and EVEX.B bit fieldsprovide the same functionality as the corresponding VEX bit fields, andare encoded using 1s complement form, i.e. ZMMO is encoded as 1111B,ZMM15 is encoded as 0000B. Other fields of the instructions encode thelower three bits of the register indexes as is known in the art (rrr,xxx, and bbb), so that Rrrr, Xxxx, and Bbbb may be formed by addingEVEX.R, EVEX.X, and EVEX.B.

REX′ field 110—this is the first part of the REX′ field 110 and is theEVEX.R′ bit field (EVEX Byte 1, bit [4]-R′) that is used to encodeeither the upper 16 or lower 16 of the extended 32 register set. In oneembodiment of the invention, this bit, along with others as indicatedbelow, is stored in bit inverted format to distinguish (in thewell-known x86 32-bit mode) from the BOUND instruction, whose realopcode byte is 62, but does not accept in the MOD R/M field (describedbelow) the value of 11 in the MOD field; alternative embodiments of theinvention do not store this and the other indicated bits below in theinverted format. A value of 1 is used to encode the lower 16 registers.In other words, R′Rrrr is formed by combining EVEX.R′, EVEX.R, and theother RRR from other fields.

Opcode map field 215 (EVEX byte 1, bits [3:0]-mmmm)—its content encodesan implied leading opcode byte (0F, 0F 38, or 0F 3).

Data element width field 164 (EVEX byte 2, bit [7]-W)—is represented bythe notation EVEX.W. EVEX.W is used to define the granularity (size) ofthe datatype (either 32-bit data elements or 64-bit data elements).

EVEX.vvvv 220 (EVEX Byte 2, bits [6:3]-vvvv)—the role of EVEX.vvvv mayinclude the following: 1) EVEX.vvvv encodes the first source registeroperand, specified in inverted (1 s complement) form and is valid forinstructions with 2 or more source operands; 2) EVEX.vvvv encodes thedestination register operand, specified in 1 s complement form forcertain vector shifts; or 3) EVEX.vvvv does not encode any operand, thefield is reserved and should contain 1111 b. Thus, EVEX.vvvv field 220encodes the 4 low-order bits of the first source register specifierstored in inverted (1 s complement) form. Depending on the instruction,an extra different EVEX bit field is used to extend the specifier sizeto 32 registers.

EVEX.U 168 Class field (EVEX byte 2, bit [2]-U)—If EVEX.U=0, itindicates class A or EVEX.U0; if EVEX.U=1, it indicates class B orEVEX.U1.

Prefix encoding field 225 (EVEX byte 2, bits [1:0]-pp)—providesadditional bits for the base operation field. In addition to providingsupport for the legacy SSE instructions in the EVEX prefix format, thisalso has the benefit of compacting the SIMD prefix (rather thanrequiring a byte to express the SIMD prefix, the EVEX prefix requiresonly 2 bits). In one embodiment, to support legacy SSE instructions thatuse a SIMD prefix (66H, F2H, F3H) in both the legacy format and in theEVEX prefix format, these legacy SIMD prefixes are encoded into the SIMDprefix encoding field; and at runtime are expanded into the legacy SIMDprefix prior to being provided to the decoder's PLA (so the PLA canexecute both the legacy and EVEX format of these legacy instructionswithout modification). Although newer instructions could use the EVEXprefix encoding field's content directly as an opcode extension, certainembodiments expand in a similar fashion for consistency but allow fordifferent meanings to be specified by these legacy SIMD prefixes. Analternative embodiment may redesign the PLA to support the 2 bit SIMDprefix encodings, and thus not require the expansion.

Alpha field 152 (EVEX byte 3, bit [7]-EH; also known as EVEX.EH,EVEX.rs, EVEX.RL, EVEX.write mask control, and EVEX.N; also illustratedwith α)—as previously described, this field is context specific.

Beta field 154 (EVEX byte 3, bits [6:4]-SSS, also known as EVEX.s₂₋₀,EVEX.r_(2.0), EVEX.rr1, EVEX.LL0, EVEX.LLB; also illustrated withβββ)—as previously described, this field is context specific.

REX′ field 110—this is the remainder of the REX′ field and is theEVEX.V′ bit field (EVEX Byte 3, bit [3]-V′) that may be used to encodeeither the upper 16 or lower 16 of the extended 32 register set. Thisbit is stored in bit inverted format. A value of 1 is used to encode thelower 16 registers. In other words, V′VVVV is formed by combiningEVEX.V′, EVEX.vvvv.

Write mask field 170 (EVEX byte 3, bits [2:0]-kkk)—its content specifiesthe index of a register in the write mask registers as previouslydescribed. In one embodiment of the invention, the specific valueEVEX.kkk=000 has a special behavior implying no write mask is used forthe particular instruction (this may be implemented in a variety of waysincluding the use of a write mask hardwired to all ones or hardware thatbypasses the masking hardware).

Real Opcode Field 230 (Byte 4) is also known as the opcode byte. Part ofthe opcode is specified in this field.

MOD R/M Field 240 (Byte 5) includes MOD field 242, Reg field 244, andR/M field 246. As previously described, the MOD field's 242 contentdistinguishes between memory access and non-memory access operations.The role of Reg field 244 can be summarized to two situations: encodingeither the destination register operand or a source register operand, orbe treated as an opcode extension and not used to encode any instructionoperand. The role of R/M field 246 may include the following: encodingthe instruction operand that references a memory address, or encodingeither the destination register operand or a source register operand.

Scale, Index, Base (SIB) Byte (Byte 6)—As previously described, thescale field's 150 content is used for memory address generation. SIB.xxx254 and SIB.bbb 256—the contents of these fields have been previouslyreferred to with regard to the register indexes Xxxx and Bbbb.

Displacement field 162A (Bytes 7-10)—when MOD field 242 contains 10,bytes 7-10 are the displacement field 162A, and it works the same as thelegacy 32-bit displacement (disp32) and works at byte granularity.

Displacement factor field 162B (Byte 7)—when MOD field 242 contains 01,byte 7 is the displacement factor field 162B. The location of this fieldis that same as that of the legacy x86 instruction set 8-bitdisplacement (disp8), which works at byte granularity. Since disp8 issign extended, it can only address between −128 and 127 bytes offsets;in terms of 64 byte cache lines, disp8 uses 8 bits that can be set toonly four really useful values −128, −64, 0, and 64; since a greaterrange is often needed, disp32 is used; however, disp32 requires 4 bytes.In contrast to disp8 and disp32, the displacement factor field 162B is areinterpretation of disp8; when using displacement factor field 162B,the actual displacement is determined by the content of the displacementfactor field multiplied by the size of the memory operand access (N).This type of displacement is referred to as disp8*N. This reduces theaverage instruction length (a single byte of used for the displacementbut with a much greater range). Such compressed displacement is based onthe assumption that the effective displacement is multiple of thegranularity of the memory access, and hence, the redundant low-orderbits of the address offset do not need to be encoded. In other words,the displacement factor field 162B substitutes the legacy x86instruction set 8-bit displacement. Thus, the displacement factor field162B is encoded the same way as an x86 instruction set 8-bitdisplacement (so no changes in the ModRM/SIB encoding rules) with theonly exception that disp8 is overloaded to disp8*N. In other words,there are no changes in the encoding rules or encoding lengths but onlyin the interpretation of the displacement value by hardware (which needsto scale the displacement by the size of the memory operand to obtain abyte-wise address offset).

Immediate field 172 operates as previously described.

Full Opcode Field

FIG. 2B is a block diagram illustrating the fields of the specificvector friendly instruction format 200 that make up the full opcodefield 174 according to one embodiment of the invention. Specifically,the full opcode field 174 includes the format field 140, the baseoperation field 142, and the data element width (W) field 164. The baseoperation field 142 includes the prefix encoding field 225, the opcodemap field 215, and the real opcode field 230.

Register Index Field

FIG. 2C is a block diagram illustrating the fields of the specificvector friendly instruction format 200 that make up the register indexfield 144 according to one embodiment of the invention. Specifically,the register index field 144 includes the REX field 205, the REX′ field210, the MODR/M.reg field 244, the MODR/M.r/m field 246, the VVVV field220, xxx field 254, and the bbb field 256.

Augmentation Operation Field

FIG. 2D is a block diagram illustrating the fields of the specificvector friendly instruction format 200 that make up the augmentationoperation field 150 according to one embodiment of the invention. Whenthe class (U) field 168 contains 0, it signifies EVEX.U0 (class A 168A);when it contains 1, it signifies EVEX.U1 (class B 168B). When U=0 andthe MOD field 242 contains 11 (signifying a no memory access operation),the alpha field 152 (EVEX byte 3, bit [7]-EH) is interpreted as the rsfield 152A. When the rs field 152A contains a 1 (round 152A.1), the betafield 154 (EVEX byte 3, bits [6:4]-SSS) is interpreted as the roundcontrol field 154A. The round control field 154A includes a one bit SAEfield 156 and a two bit round operation field 158. When the rs field152A contains a 0 (data transform 152A.2), the beta field 154 (EVEX byte3, bits [6:4]-SSS) is interpreted as a three bit data transform field154B. When U=0 and the MOD field 242 contains 00, 01, or 10 (signifyinga memory access operation), the alpha field 152 (EVEX byte 3, bit[7]-EH) is interpreted as the eviction hint (EH) field 152B and the betafield 154 (EVEX byte 3, bits [6:4]-SSS) is interpreted as a three bitdata manipulation field 154C.

When U=1, the alpha field 152 (EVEX byte 3, bit [7]-EH) is interpretedas the write mask control (Z) field 152C. When U=1 and the MOD field 242contains 11 (signifying a no memory access operation), part of the betafield 154 (EVEX byte 3, bit [4]-S₀) is interpreted as the RL field 157A;when it contains a 1 (round 157A.1) the rest of the beta field 154 (EVEXbyte 3, bit [6-5]-S₂₋₁) is interpreted as the round operation field159A, while when the RL field 157A contains a 0 (VSIZE 157.A2) the restof the beta field 154 (EVEX byte 3, bit [6-5]-S₂₋₁) is interpreted asthe vector length field 159B (EVEX byte 3, bit [6-5]-L₁₋₀). When U=1 andthe MOD field 242 contains 00, 01, or 10 (signifying a memory accessoperation), the beta field 154 (EVEX byte 3, bits [6:4]-SSS) isinterpreted as the vector length field 159B (EVEX byte 3, bit[6-5]-L₁₋₀) and the broadcast field 157B (EVEX byte 3, bit [4]-B).

C. Exemplary Register Architecture

FIG. 3 is a block diagram of a register architecture 300 according toone embodiment of the invention. In the embodiment illustrated, thereare 32 vector registers 310 that are 512 bits wide; these registers arereferenced as zmm0 through zmm31. The lower order 256 bits of the lower16 zmm registers are overlaid on registers ymm0-16. The lower order 128bits of the lower 16 zmm registers (the lower order 128 bits of the ymmregisters) are overlaid on registers xmm0-15. The specific vectorfriendly instruction format 200 operates on these overlaid register fileas illustrated in the below tables.

Adjustable Vector Length Class Operations Registers InstructionTemplates A (FIG. 110, 115, zmm registers (the vector that do notinclude 1A; U = 0) 125, 130 length is 64 byte) the vector length field B(FIG. 112 zmm registers (the vector 159B 1B; U = 1) length is 64 byte)Instruction templates B (FIG. 117, 127 zmm, ymm, or xmm registers thatdo include the 1B; U = 1) (the vector length is 64 byte, 32 vectorlength field byte, or 16 byte) depending on 159B the vector length field159B

In other words, the vector length field 159B selects between a maximumlength and one or more other shorter lengths, where each such shorterlength is half the length of the preceding length; and instructionstemplates without the vector length field 159B operate on the maximumvector length. Further, in one embodiment, the class B instructiontemplates of the specific vector friendly instruction format 200 operateon packed or scalar single/double-precision floating point data andpacked or scalar integer data. Scalar operations are operationsperformed on the lowest order data element position in an zmm/ymm/xmmregister; the higher order data element positions are either left thesame as they were prior to the instruction or zeroed depending on theembodiment.

Write mask registers 315—in the embodiment illustrated, there are 8write mask registers (k0 through k7), each 64 bits in size. In analternate embodiment, the write mask registers 315 are 16 bits in size.As previously described, in one embodiment of the invention, the vectormask register k0 cannot be used as a write mask; when the encoding thatwould normally indicate k0 is used for a write mask, it selects ahardwired write mask of 0xFFFF, effectively disabling write masking forthat instruction.

General-purpose registers 325—in the embodiment illustrated, there aresixteen 64-bit general-purpose registers that are used along with theexisting x86 addressing modes to address memory operands. Theseregisters are referenced by the names RAX, RBX, RCX, RDX, RBP, RSI, RDI,RSP, and R8 through R15.

Scalar floating point stack register file (x87 stack) 345, on which isaliased the MMX packed integer flat register file 350—in the embodimentillustrated, the x87 stack is an eight-element stack used to performscalar floating-point operations on 32/64/80-bit floating point datausing the x87 instruction set extension; while the MMX registers areused to perform operations on 64-bit packed integer data, as well as tohold operands for some operations performed between the MMX and XMMregisters.

Alternative embodiments of the invention may use wider or narrowerregisters. Additionally, alternative embodiments of the invention mayuse more, less, or different register files and registers.

D. Exemplary Core Architectures, Processors, and Computer Architectures

Processor cores may be implemented in different ways, for differentpurposes, and in different processors. For instance, implementations ofsuch cores may include: 1) a general purpose in-order core intended forgeneral-purpose computing; 2) a high performance general purposeout-of-order core intended for general-purpose computing; 3) a specialpurpose core intended primarily for graphics and/or scientific(throughput) computing. Implementations of different processors mayinclude: 1) a CPU including one or more general purpose in-order coresintended for general-purpose computing and/or one or more generalpurpose out-of-order cores intended for general-purpose computing; and2) a coprocessor including one or more special purpose cores intendedprimarily for graphics and/or scientific (throughput). Such differentprocessors lead to different computer system architectures, which mayinclude: 1) the coprocessor on a separate chip from the CPU; 2) thecoprocessor on a separate die in the same package as a CPU; 3) thecoprocessor on the same die as a CPU (in which case, such a coprocessoris sometimes referred to as special purpose logic, such as integratedgraphics and/or scientific (throughput) logic, or as special purposecores); and 4) a system on a chip that may include on the same die thedescribed CPU (sometimes referred to as the application core(s) orapplication processor(s)), the above described coprocessor, andadditional functionality. Exemplary core architectures are describednext, followed by descriptions of exemplary processors and computerarchitectures.

FIG. 4A is a block diagram illustrating both an exemplary in-orderpipeline and an exemplary register renaming, out-of-orderissue/execution pipeline according to embodiments of the invention. FIG.4B is a block diagram illustrating both an exemplary embodiment of anin-order architecture core and an exemplary register renaming,out-of-order issue/execution architecture core to be included in aprocessor according to embodiments of the invention. The solid linedboxes in FIGS. 4A-B illustrate the in-order pipeline and in-order core,while the optional addition of the dashed lined boxes illustrates theregister renaming, out-of-order issue/execution pipeline and core. Giventhat the in-order aspect is a subset of the out-of-order aspect, theout-of-order aspect will be described.

In FIG. 4A, a processor pipeline 400 includes a fetch stage 402, alength decode stage 404, a decode stage 406, an allocation stage 408, arenaming stage 410, a scheduling (also known as a dispatch or issue)stage 412, a register read/memory read stage 414, an execute stage 416,a write back/memory write stage 418, an exception handling stage 422,and a commit stage 424.

FIG. 4B shows processor core 490 including a front end unit 430 coupledto an execution engine unit 450, and both are coupled to a memory unit470. The core 490 may be a reduced instruction set computing (RISC)core, a complex instruction set computing (CISC) core, a very longinstruction word (VLIW) core, or a hybrid or alternative core type. Asyet another option, the core 490 may be a special-purpose core, such as,for example, a network or communication core, compression engine,coprocessor core, general purpose computing graphics processing unit(GPGPU) core, graphics core, or the like.

The front end unit 430 includes a branch prediction unit 432 coupled toan instruction cache unit 434, which is coupled to an instructiontranslation lookaside buffer (TLB) 436, which is coupled to aninstruction fetch unit 438, which is coupled to a decode unit 440. Thedecode unit 440 (or decoder) may decode instructions, and generate as anoutput one or more micro-operations, micro-code entry points,microinstructions, other instructions, or other control signals, whichare decoded from, or which otherwise reflect, or are derived from, theoriginal instructions. The decode unit 440 may be implemented usingvarious different mechanisms. Examples of suitable mechanisms include,but are not limited to, look-up tables, hardware implementations,programmable logic arrays (PLAs), microcode read only memories (ROMs),etc. In one embodiment, the core 490 includes a microcode ROM or othermedium that stores microcode for certain macroinstructions (e.g., indecode unit 440 or otherwise within the front end unit 430). The decodeunit 440 is coupled to a rename/allocator unit 452 in the executionengine unit 450.

The execution engine unit 450 includes the rename/allocator unit 452coupled to a retirement unit 454 and a set of one or more schedulerunit(s) 456. The scheduler unit(s) 456 represents any number ofdifferent schedulers, including reservations stations, centralinstruction window, etc. The scheduler unit(s) 456 is coupled to thephysical register file(s) unit(s) 458. Each of the physical registerfile(s) units 458 represents one or more physical register files,different ones of which store one or more different data types, such asscalar integer, scalar floating point, packed integer, packed floatingpoint, vector integer, vector floating point, status (e.g., aninstruction pointer that is the address of the next instruction to beexecuted), etc. In one embodiment, the physical register file(s) unit458 comprises a vector registers unit, a write mask registers unit, anda scalar registers unit. These register units may provide architecturalvector registers, vector mask registers, and general purpose registers.The physical register file(s) unit(s) 458 is overlapped by theretirement unit 454 to illustrate various ways in which registerrenaming and out-of-order execution may be implemented (e.g., using areorder buffer(s) and a retirement register file(s); using a futurefile(s), a history buffer(s), and a retirement register file(s); using aregister maps and a pool of registers; etc.). The retirement unit 454and the physical register file(s) unit(s) 458 are coupled to theexecution cluster(s) 460. The execution cluster(s) 460 includes a set ofone or more execution units 462 and a set of one or more memory accessunits 464. The execution units 462 may perform various operations (e.g.,shifts, addition, subtraction, multiplication) and on various types ofdata (e.g., scalar floating point, packed integer, packed floatingpoint, vector integer, vector floating point). While some embodimentsmay include a number of execution units dedicated to specific functionsor sets of functions, other embodiments may include only one executionunit or multiple execution units that all perform all functions. Thescheduler unit(s) 456, physical register file(s) unit(s) 458, andexecution cluster(s) 460 are shown as being possibly plural becausecertain embodiments create separate pipelines for certain types ofdata/operations (e.g., a scalar integer pipeline, a scalar floatingpoint/packed integer/packed floating point/vector integer/vectorfloating point pipeline, and/or a memory access pipeline that each havetheir own scheduler unit, physical register file(s) unit, and/orexecution cluster—and in the case of a separate memory access pipeline,certain embodiments are implemented in which only the execution clusterof this pipeline has the memory access unit(s) 464). It should also beunderstood that where separate pipelines are used, one or more of thesepipelines may be out-of-order issue/execution and the rest in-order.

The set of memory access units 464 is coupled to the memory unit 470,which includes a data TLB unit 472 coupled to a data cache unit 474coupled to a level 2 (L2) cache unit 476. In one exemplary embodiment,the memory access units 464 may include a load unit, a store addressunit, and a store data unit, each of which is coupled to the data TLBunit 472 in the memory unit 470. The instruction cache unit 434 isfurther coupled to a level 2 (L2) cache unit 476 in the memory unit 470.The L2 cache unit 476 is coupled to one or more other levels of cacheand eventually to a main memory.

By way of example, the exemplary register renaming, out-of-orderissue/execution core architecture may implement the pipeline 400 asfollows: 1) the instruction fetch 438 performs the fetch and lengthdecoding stages 402 and 404; 2) the decode unit 440 performs the decodestage 406; 3) the rename/allocator unit 452 performs the allocationstage 408 and renaming stage 410; 4) the scheduler unit(s) 456 performsthe schedule stage 412; 5) the physical register file(s) unit(s) 458 andthe memory unit 470 perform the register read/memory read stage 414; theexecution cluster 460 perform the execute stage 416; 6) the memory unit470 and the physical register file(s) unit(s) 458 perform the writeback/memory write stage 418; 7) various units may be involved in theexception handling stage 422; and 8) the retirement unit 454 and thephysical register file(s) unit(s) 458 perform the commit stage 424.

The core 490 may support one or more instructions sets (e.g., the x86instruction set (with some extensions that have been added with newerversions); the MIPS instruction set of MIPS Technologies of Sunnyvale,Calif.; the ARM instruction set (with optional additional extensionssuch as NEON) of ARM Holdings of Sunnyvale, Calif.), including theinstruction(s) described herein. In one embodiment, the core 490includes logic to support a packed data instruction set extension (e.g.,AVX1, AVX2), thereby allowing the operations used by many multimediaapplications to be performed using packed data.

It should be understood that the core may support multithreading(executing two or more parallel sets of operations or threads), and maydo so in a variety of ways including time sliced multithreading,simultaneous multithreading (where a single physical core provides alogical core for each of the threads that physical core issimultaneously multithreading), or a combination thereof (e.g., timesliced fetching and decoding and simultaneous multithreading thereaftersuch as in the Intel® Hyperthreading technology).

While register renaming is described in the context of out-of-orderexecution, it should be understood that register renaming may be used inan in-order architecture. While the illustrated embodiment of theprocessor also includes separate instruction and data cache units434/474 and a shared L2 cache unit 476, alternative embodiments may havea single internal cache for both instructions and data, such as, forexample, a Level 1 (L1) internal cache, or multiple levels of internalcache. In some embodiments, the system may include a combination of aninternal cache and an external cache that is external to the core and/orthe processor. Alternatively, all of the cache may be external to thecore and/or the processor.

FIGS. 5A-B illustrate a block diagram of a more specific exemplaryin-order core architecture, which core would be one of several logicblocks (including other cores of the same type and/or different types)in a chip. The logic blocks communicate through a high-bandwidthinterconnect network (e.g., a ring network) with some fixed functionlogic, memory I/O interfaces, and other necessary I/O logic, dependingon the application.

FIG. 5A is a block diagram of a single processor core, along with itsconnection to the on-die interconnect network 502 and with its localsubset of the Level 2 (L2) cache 504, according to embodiments of theinvention. In one embodiment, an instruction decoder 500 supports thex86 instruction set with a packed data instruction set extension. An L1cache 506 allows low-latency accesses to cache memory into the scalarand vector units. While in one embodiment (to simplify the design), ascalar unit 508 and a vector unit 510 use separate register sets(respectively, scalar registers 512 and vector registers 514) and datatransferred between them is written to memory and then read back in froma level 1 (L1) cache 506, alternative embodiments of the invention mayuse a different approach (e.g., use a single register set or include acommunication path that allow data to be transferred between the tworegister files without being written and read back).

The local subset of the L2 cache 504 is part of a global L2 cache thatis divided into separate local subsets, one per processor core. Eachprocessor core has a direct access path to its own local subset of theL2 cache 504. Data read by a processor core is stored in its L2 cachesubset 504 and can be accessed quickly, in parallel with other processorcores accessing their own local L2 cache subsets. Data written by aprocessor core is stored in its own L2 cache subset 504 and is flushedfrom other subsets, if necessary. The ring network ensures coherency forshared data. The ring network is bi-directional to allow agents such asprocessor cores, L2 caches and other logic blocks to communicate witheach other within the chip. Each ring data-path is 1012-bits wide perdirection.

FIG. 5B is an expanded view of part of the processor core in FIG. 5Aaccording to embodiments of the invention. FIG. 5B includes an L1 datacache 506A part of the L1 cache 504, as well as more detail regardingthe vector unit 510 and the vector registers 514. Specifically, thevector unit 510 is a 16-wide vector processing unit (VPU) (see the16-wide ALU 528), which executes one or more of integer,single-precision float, and double-precision float instructions. The VPUsupports swizzling the register inputs with swizzle unit 520, numericconversion with numeric convert units 522A-B, and replication withreplication unit 524 on the memory input. Write mask registers 526 allowpredicating resulting vector writes.

FIG. 6 is a block diagram of a processor 600 that may have more than onecore, may have an integrated memory controller, and may have integratedgraphics according to embodiments of the invention. The solid linedboxes in FIG. 6 illustrate a processor 600 with a single core 602A, asystem agent 610, a set of one or more bus controller units 616, whilethe optional addition of the dashed lined boxes illustrates analternative processor 600 with multiple cores 602A-N, a set of one ormore integrated memory controller unit(s) 614 in the system agent unit610, and special purpose logic 608.

Thus, different implementations of the processor 600 may include: 1) aCPU with the special purpose logic 608 being integrated graphics and/orscientific (throughput) logic (which may include one or more cores), andthe cores 602A-N being one or more general purpose cores (e.g., generalpurpose in-order cores, general purpose out-of-order cores, acombination of the two); 2) a coprocessor with the cores 602A-N being alarge number of special purpose cores intended primarily for graphicsand/or scientific (throughput); and 3) a coprocessor with the cores602A-N being a large number of general purpose in-order cores. Thus, theprocessor 600 may be a general-purpose processor, coprocessor orspecial-purpose processor, such as, for example, a network orcommunication processor, compression engine, graphics processor, GPGPU(general purpose graphics processing unit), a high-throughput manyintegrated core (MIC) coprocessor (including 30 or more cores), embeddedprocessor, or the like. The processor may be implemented on one or morechips. The processor 600 may be a part of and/or may be implemented onone or more substrates using any of a number of process technologies,such as, for example, BiCMOS, CMOS, or NMOS.

The memory hierarchy includes one or more levels of cache within thecores, a set or one or more shared cache units 606, and external memory(not shown) coupled to the set of integrated memory controller units614. The set of shared cache units 606 may include one or more mid-levelcaches, such as level 2 (L2), level 3 (L3), level 4 (L4), or otherlevels of cache, a last level cache (LLC), and/or combinations thereof.While in one embodiment a ring based interconnect unit 612 interconnectsthe integrated graphics logic 608, the set of shared cache units 606,and the system agent unit 610/integrated memory controller unit(s) 614,alternative embodiments may use any number of well-known techniques forinterconnecting such units. In one embodiment, coherency is maintainedbetween one or more cache units 606 and cores 602-A-N.

In some embodiments, one or more of the cores 602A-N are capable ofmulti-threading. The system agent 610 includes those componentscoordinating and operating cores 602A-N. The system agent unit 610 mayinclude for example a power control unit (PCU) and a display unit. ThePCU may be or include logic and components needed for regulating thepower state of the cores 602A-N and the integrated graphics logic 608.The display unit is for driving one or more externally connecteddisplays.

The cores 602A-N may be homogenous or heterogeneous in terms ofarchitecture instruction set; that is, two or more of the cores 602A-Nmay be capable of execution the same instruction set, while others maybe capable of executing only a subset of that instruction set or adifferent instruction set.

FIGS. 7-10 are block diagrams of exemplary computer architectures. Othersystem designs and configurations known in the arts for laptops,desktops, handheld PCs, personal digital assistants, engineeringworkstations, servers, network devices, network hubs, switches, embeddedprocessors, digital signal processors (DSPs), graphics devices, videogame devices, set-top boxes, micro controllers, cell phones, portablemedia players, hand held devices, and various other electronic devices,are also suitable. In general, a huge variety of systems or electronicdevices capable of incorporating a processor and/or other executionlogic as disclosed herein are generally suitable.

Referring now to FIG. 7, shown is a block diagram of a system 700 inaccordance with one embodiment of the present invention. The system 700may include one or more processors 710, 715, which are coupled to acontroller hub 720. In one embodiment the controller hub 720 includes agraphics memory controller hub (GMCH) 790 and an Input/Output Hub (IOH)750 (which may be on separate chips); the GMCH 790 includes memory andgraphics controllers to which are coupled memory 740 and a coprocessor745; the IOH 750 is couples input/output (I/O) devices 760 to the GMCH790. Alternatively, one or both of the memory and graphics controllersare integrated within the processor (as described herein), the memory740 and the coprocessor 745 are coupled directly to the processor 710,and the controller hub 720 in a single chip with the IOH 750.

The optional nature of additional processors 715 is denoted in FIG. 7with broken lines. Each processor 710, 715 may include one or more ofthe processing cores described herein and may be some version of theprocessor 600.

The memory 740 may be, for example, dynamic random access memory (DRAM),phase change memory (PCM), or a combination of the two. For at least oneembodiment, the controller hub 720 communicates with the processor(s)710, 715 via a multi-drop bus, such as a frontside bus (FSB),point-to-point interface such as QuickPath Interconnect (QPI), orsimilar connection 795.

In one embodiment, the coprocessor 745 is a special-purpose processor,such as, for example, a high-throughput MIC processor, a network orcommunication processor, compression engine, graphics processor, GPGPU,embedded processor, or the like. In one embodiment, controller hub 720may include an integrated graphics accelerator.

There can be a variety of differences between the physical resources710, 715 in terms of a spectrum of metrics of merit includingarchitectural, microarchitectural, thermal, power consumptioncharacteristics, and the like.

In one embodiment, the processor 710 executes instructions that controldata processing operations of a general type. Embedded within theinstructions may be coprocessor instructions. The processor 710recognizes these coprocessor instructions as being of a type that shouldbe executed by the attached coprocessor 745. Accordingly, the processor710 issues these coprocessor instructions (or control signalsrepresenting coprocessor instructions) on a coprocessor bus or otherinterconnect, to coprocessor 745. Coprocessor(s) 745 accept and executethe received coprocessor instructions.

Referring now to FIG. 8, shown is a block diagram of a first morespecific exemplary system 800 in accordance with an embodiment of thepresent invention. As shown in FIG. 8, multiprocessor system 800 is apoint-to-point interconnect system, and includes a first processor 870and a second processor 880 coupled via a point-to-point interconnect850. Each of processors 870 and 880 may be some version of the processor600. In one embodiment of the invention, processors 870 and 880 arerespectively processors 710 and 715, while coprocessor 838 iscoprocessor 745. In another embodiment, processors 870 and 880 arerespectively processor 710 coprocessor 745.

Processors 870 and 880 are shown including integrated memory controller(IMC) units 872 and 882, respectively. Processor 870 also includes aspart of its bus controller units point-to-point (P-P) interfaces 876 and878; similarly, second processor 880 includes P-P interfaces 886 and888. Processors 870, 880 may exchange information via a point-to-point(P-P) interface 850 using P-P interface circuits 878, 888. As shown inFIG. 8, IMCs 872 and 882 couple the processors to respective memories,namely a memory 832 and a memory 834, which may be portions of mainmemory locally attached to the respective processors.

Processors 870, 880 may each exchange information with a chipset 890 viaindividual P-P interfaces 852, 854 using point to point interfacecircuits 876, 894, 886, 898. Chipset 890 may optionally exchangeinformation with the coprocessor 838 via a high-performance interface839. In one embodiment, the coprocessor 838 is a special-purposeprocessor, such as, for example, a high-throughput MIC processor, anetwork or communication processor, compression engine, graphicsprocessor, GPGPU, embedded processor, or the like.

A shared cache (not shown) may be included in either processor oroutside of both processors, yet connected with the processors via P-Pinterconnect, such that either or both processors' local cacheinformation may be stored in the shared cache if a processor is placedinto a low power mode.

Chipset 890 may be coupled to a first bus 816 via an interface 896. Inone embodiment, first bus 816 may be a Peripheral Component Interconnect(PCI) bus, or a bus such as a PCI Express bus or another thirdgeneration I/O interconnect bus, although the scope of the presentinvention is not so limited.

As shown in FIG. 8, various I/O devices 814 may be coupled to first bus816, along with a bus bridge 818 which couples first bus 816 to a secondbus 820. In one embodiment, one or more additional processor(s) 815,such as coprocessors, high-throughput MIC processors, GPGPU's,accelerators (such as, e.g., graphics accelerators or digital signalprocessing (DSP) units), field programmable gate arrays, or any otherprocessor, are coupled to first bus 816. In one embodiment, second bus820 may be a low pin count (LPC) bus. Various devices may be coupled toa second bus 820 including, for example, a keyboard and/or mouse 822,communication devices 827 and a storage unit 828 such as a disk drive orother mass storage device which may include instructions/code and data830, in one embodiment. Further, an audio I/O 824 may be coupled to thesecond bus 820. Note that other architectures are possible. For example,instead of the point-to-point architecture of FIG. 8, a system mayimplement a multi-drop bus or other such architecture.

Referring now to FIG. 9, shown is a block diagram of a second morespecific exemplary system 900 in accordance with an embodiment of thepresent invention. Like elements in FIGS. 8 and 9 bear like referencenumerals, and certain aspects of FIG. 8 have been omitted from FIG. 9 inorder to avoid obscuring other aspects of FIG. 9.

FIG. 9 illustrates that the processors 870, 880 may include integratedmemory and I/O control logic (“CL”) 872 and 882, respectively. Thus, theCL 872, 882 include integrated memory controller units and include I/Ocontrol logic. FIG. 9 illustrates that not only are the memories 832,834 coupled to the CL 872, 882, but also that I/O devices 914 are alsocoupled to the control logic 872, 882. Legacy I/O devices 915 arecoupled to the chipset 890.

Referring now to FIG. 10, shown is a block diagram of a SoC 1000 inaccordance with an embodiment of the present invention. Similar elementsin FIG. 6 bear like reference numerals. Also, dashed lined boxes areoptional features on more advanced SoCs. In FIG. 10, an interconnectunit(s) 1002 is coupled to: an application processor 1010 which includesa set of one or more cores 202A-N and shared cache unit(s) 606; a systemagent unit 610; a bus controller unit(s) 616; an integrated memorycontroller unit(s) 614; a set or one or more coprocessors 1020 which mayinclude integrated graphics logic, an image processor, an audioprocessor, and a video processor; an static random access memory (SRAM)unit 1030; a direct memory access (DMA) unit 1032; and a display unit1040 for coupling to one or more external displays. In one embodiment,the coprocessor(s) 1020 include a special-purpose processor, such as,for example, a network or communication processor, compression engine,GPGPU, a high-throughput MIC processor, embedded processor, or the like.

Embodiments of the mechanisms disclosed herein may be implemented inhardware, software, firmware, or a combination of such implementationapproaches. Embodiments of the invention may be implemented as computerprograms or program code executing on programmable systems comprising atleast one processor, a storage system (including volatile andnon-volatile memory and/or storage elements), at least one input device,and at least one output device.

Program code, such as code 830 illustrated in FIG. 8, may be applied toinput instructions to perform the functions described herein andgenerate output information. The output information may be applied toone or more output devices, in known fashion. For purposes of thisapplication, a processing system includes any system that has aprocessor, such as, for example; a digital signal processor (DSP), amicrocontroller, an application specific integrated circuit (ASIC), or amicroprocessor.

The program code may be implemented in a high level procedural or objectoriented programming language to communicate with a processing system.The program code may also be implemented in assembly or machinelanguage, if desired. In fact, the mechanisms described herein are notlimited in scope to any particular programming language. In any case,the language may be a compiled or interpreted language.

One or more aspects of at least one embodiment may be implemented byrepresentative instructions stored on a machine-readable medium whichrepresents various logic within the processor, which when read by amachine causes the machine to fabricate logic to perform the techniquesdescribed herein. Such representations, known as “IP cores” may bestored on a tangible, machine readable medium and supplied to variouscustomers or manufacturing facilities to load into the fabricationmachines that actually make the logic or processor.

Such machine-readable storage media may include, without limitation,non-transitory, tangible arrangements of articles manufactured or formedby a machine or device, including storage media such as hard disks, anyother type of disk including floppy disks, optical disks, compact diskread-only memories (CD-ROMs), compact disk rewritable's (CD-RWs), andmagneto-optical disks, semiconductor devices such as read-only memories(ROMs), random access memories (RAMs) such as dynamic random accessmemories (DRAMs), static random access memories (SRAMs), erasableprogrammable read-only memories (EPROMs), flash memories, electricallyerasable programmable read-only memories (EEPROMs), phase change memory(PCM), magnetic or optical cards, or any other type of media suitablefor storing electronic instructions.

Accordingly, embodiments of the invention also include non-transitory,tangible machine-readable media containing instructions or containingdesign data, such as Hardware Description Language (HDL), which definesstructures, circuits, apparatuses, processors and/or system featuresdescribed herein. Such embodiments may also be referred to as programproducts.

In some cases, an instruction converter may be used to convert aninstruction from a source instruction set to a target instruction set.For example, the instruction converter may translate (e.g., using staticbinary translation, dynamic binary translation including dynamiccompilation), morph, emulate, or otherwise convert an instruction to oneor more other instructions to be processed by the core. The instructionconverter may be implemented in software, hardware, firmware, or acombination thereof. The instruction converter may be on processor, offprocessor, or part on and part off processor.

FIG. 11 is a block diagram contrasting the use of a software instructionconverter to convert binary instructions in a source instruction set tobinary instructions in a target instruction set according to embodimentsof the invention. In the illustrated embodiment, the instructionconverter is a software instruction converter, although alternativelythe instruction converter may be implemented in software, firmware,hardware, or various combinations thereof. FIG. 11 shows a program in ahigh level language 1102 may be compiled using an x86 compiler 1104 togenerate x86 binary code 1106 that may be natively executed by aprocessor with at least one x86 instruction set core 1116. The processorwith at least one x86 instruction set core 1116 represents any processorthat can perform substantially the same functions as an Intel processorwith at least one x86 instruction set core by compatibly executing orotherwise processing (1) a substantial portion of the instruction set ofthe Intel x86 instruction set core or (2) object code versions ofapplications or other software targeted to run on an Intel processorwith at least one x86 instruction set core, in order to achievesubstantially the same result as an Intel processor with at least onex86 instruction set core. The x86 compiler 1104 represents a compilerthat is operable to generate x86 binary code 1106 (e.g., object code)that can, with or without additional linkage processing, be executed onthe processor with at least one x86 instruction set core 1116.Similarly, FIG. 11 shows the program in the high level language 1102 maybe compiled using an alternative instruction set compiler 1108 togenerate alternative instruction set binary code 1110 that may benatively executed by a processor without at least one x86 instructionset core 1114 (e.g., a processor with cores that execute the MIPSinstruction set of MIPS Technologies of Sunnyvale, Calif. and/or thatexecute the ARM instruction set of ARM Holdings of Sunnyvale, Calif.).The instruction converter 1112 is used to convert the x86 binary code1106 into code that may be natively executed by the processor without anx86 instruction set core 1114. This converted code is not likely to bethe same as the alternative instruction set binary code 1110 because aninstruction converter capable of this is difficult to make; however, theconverted code will accomplish the general operation and be made up ofinstructions from the alternative instruction set. Thus, the instructionconverter 1112 represents software, firmware, hardware, or a combinationthereof that, through emulation, simulation or any other process, allowsa processor or other electronic device that does not have an x86instruction set processor or core to execute the x86 binary code 1106.

Sharing Aware Snoop Filter Apparatus And Method

Embodiments of the invention augment the traditional snoop filter (SF)with an auxiliary structure that can be used to perfectly track a fewfrequently-used shared cache lines. These embodiments also provide anefficient allocation algorithm for the auxiliary structure that improvesperformance and reduces network traffic while incurring minimal areaoverhead.

As mentioned, the snoop filter, also known as a “tag-directory,” is anon-die structure that tracks the presence of cache lines in thedifferent levels of the cache hierarchy across the tiles on a die. Theterm “tile” is used here to represent an agent that has a cacheassociated with it and accesses memory via an intra-die interconnectionnetwork. A tile, for example, can be associated with a single core,multiple cores, accelerators and/or I/O agents. Cache line tracking inthe SF is done using presence bits, known as core-valid bits (CV bits),and helps maintain coherence for data streams and instruction streamsacross the caches. To reduce the area occupied by the SF, the trackingbits in each entry follow an encoded pattern. For every cached line upto two unique sharers of the line can be tracked perfectly, i.e., theirexact identity is stored in the SF entry. If a cache line is shared bymore than 2 caches however it is tracked in a coarse-grained manner witheach CV bit used to represent multiple caches/tiles. As the number oftiles (and hence caches) on the die increase the level of coarse-grainedencoding used for the CV bits has also been steadily increasing (fromone bit representing 1 tile to one bit representing 6 or more tiles).This coarse-grained representation leads to CV bit aliasing whereby acore which never accesses a line can appear as currently caching it.

The CV bit aliasing outlined above can lead to the followinginefficiencies in the coherence protocol. First, aliased CV bits cancause multiple spurious messages being sent out on the intra-dieinterconnect network leading to performance loss, extra network messagesand energy usage. For example read-for-ownership requests and capacityevictions from the SF, which send invalidate messages based on thenumber of CV bits set in the SF, will send unnecessary invalidations tocores that never even cached the address and cause extra acknowledgementmessages. Second, due to the aliased nature of CV bits for widely sharedlines, evictions from the core caches are unable to clear the CV bitthat represents them in the SF, leading to stale entries (i.e., entrieswhich are no longer required but still have valid bits). In order tocounter this problem certain processors provision the SF to be largerthan the capacity of the on-die caches so that back-invalidations fromthe SF do not incur a performance loss. As applications become moremulti-threaded and more cores are integrated on-die this problem isexpected to be exacerbated. While all application segments with parallelcodes could be impacted by this problem, high-performance computing(HPC) in particular is a key target for this inefficiency as it tends touse many parallel threads.

Several proposals in industry and academia have attempted to improve thetracking accuracy and efficiency of snoop filters. As shown in FIG. 12A,an aliased CV bit requires a single message sent to one cache 1205 to becompulsorily multicast to all other caches 1206-1208 that map to its bitcausing extra interconnection network traffic and power. Moreover, dataevictions from the core caches are unable to clean aliased CV bits sincethey cannot be sure that the line is not present in any of the othercaches that map to this bit.

A simple but costly improvement would be to add as many CV bits in eachsnoop filter line as there are tiles on the die, as illustrated in FIG.12B. This would increase its area dramatically but also improveperformance of several applications. For example perfectly tracking64-tiles in the snoop filter would increase its area by 57%. However theperformance advantages of such a perfect snoop filter can besignificant.

To address the severe area overhead of a perfect SF, hierarchical snoopfilters have been proposed which provide a dedicated CV bit per tileon-die but group the tiles in hierarchical groups called domains so thatany one SF line only has to track its domain perfectly. This reduces thetracking state but makes the coherence protocol difficult to verify dueto the expanding number of coherence states possible between thedifferent SF levels.

The embodiments of the invention take advantage of the insight that ofall unique cache lines that are tracked by the snoop filter, only asmall fraction of them are simultaneously cached by more than two uniquetiles (sometimes referred to as “widely-shared lines”). Hence, theperformance and energy benefits of incorporating perfect CV bits for theentire SF may be achieved by tracking the small fraction ofwidely-shared lines perfectly. One embodiment supplements the basicsnoop filter with a second, smaller structure that can perfectly encodeall on-die caches with minimal area impact, resulting in a sharing-awareSF. The sharing-aware SF can be turned off if required without impactingthe basic SF operation.

FIG. 13 shows the percent of SF lines that have more than two consumersfor a number of key HPC applications. As can be seen, provisioning just12% of the SF lines with the extra bits to perfectly track the cores canachieve all the performance advantages full tracking with a minimal areaoverhead. An analysis of the data shows that while lines that are sharedby more than two caches are a small fraction of the total cached linesthey are accessed very frequently.

FIG. 14 shows the frequency of accesses to shared data for an 8-threadedrun of a particular application (UMT). Over 25% of the total accessesare to lines shared by more than two caches (the buckets marked Th3 andmore). This explains some of the high performance benefits realized fromthe embodiments of the invention.

In one embodiment, rather than change some of the entries of an existingSF to encode more bits, a new, smaller perfect SF is added to thebaseline SF to track these 12% lines. Using a separate structure meansthat all applications which ran well on the coarse-grained SF will seeno negative impact on performance or power and all the applications thatcan benefit from the auxiliary structure will benefit from it.

FIG. 15 illustrates an exemplary processor architecture on which theembodiments of the invention may be implemented which includes a coreregion 1501 and an uncore region 1510. The core region 1501 includes aplurality of cores 1501 a-c, which may be multithreaded cores capable ofconcurrently executing multiple instruction streams. Although only threecores 1501 a-c are illustrated in FIG. 15, it will be appreciated thatthe core region 1501 may include any number of cores and/or other formof processing devices with a local cache (e.g., accelerators). Each ofthe cores 1501 a-c may include well known instruction pipelinecomponents for performing out-of-order or in-order execution of theinstruction streams including an instruction fetch unit; a decode unit;an execution unit; a write-back/retirement unit; general purpose,vector, and mask registers; a branch prediction unit; a translationlookaside buffer (TLB); and various cache levels including a Level 1(L1) cache, and Level 2 (L2) cache (illustrated generally as cache(s)1505 a-c). However, it should be noted, that the underlying principlesof the invention are not limited to any particular processorarchitecture.

In the illustrated embodiment, an interconnect 1506 such as apoint-to-point interconnect communicatively couples the cores 1501 a-cto one another and to various components within the uncore 1510including shared cache(s) 1520 (e.g., a L3 cache), an integrated memorycontroller 1530 providing access to a system memory 1560, and one ormore input/output (I/O) agents 1535 (e.g., such as a PCI express orsimilar agent interface).

In one embodiment, a sharing aware snoop filter 1550 is coupled to thecaching agents 1507 a-c of the core caches 1505 a-c, the shared cache(s)1520, the I/O agent, and/or any other processor elements (not shown)adapted to coherently cache data/instructions on the processor 1500. Asmentioned, in one embodiment, the sharing aware snoop filter 1550includes an auxiliary SF component which perfectly tracks a subset offrequently accessed cache lines.

FIGS. 16A-B illustrates two possible embodiments of the snoop filter1550 which includes a primary snoop filter 1610 and the auxiliary snoopfilter 1611. Only the SF bits that are relevant for the embodiments ofthe invention are illustrated; other bits representing the physicaladdress are not shown. The primary snoop filter 1610 may operate usingone or more traditional modes of operation. For example, in oneembodiment, in a first mode (“Mode 0”), the SF may perfectly representup to two sharers of a cache line. That is, the owner 1601 and a firstsharer 1602 can be uniquely identified in the first mode. In a secondmode (“Mode 1”), the SF can represent the owner 1601 of the cache lineand several CV bits 1603 each of which represent some number of tiles.The number of tiles that alias to a bit depends on the total number ofon-die tiles. Each line also includes a valid bit 1600 to indicatewhether the line is valid.

In one embodiment the auxiliary snoop filter 1611 holds widely sharedlines. The auxiliary structure has the same valid 1600 and owner 1601fields as the primary snoop filter 1610. However, it additionally holdsCV bits 1603 which includes bits to uniquely identify each tile on thedie.

A first embodiment is shown in FIG. 16A in which the auxiliary snoopfilter 1611 is mutually exclusive with the baseline snoop filter 1610,also referred to as the “Overflow” design. As long as a cache line hasup to two sharers it resides in the baseline SF 1610. In thisembodiment, if a third tile accesses the line, it is migrated to theauxiliary snoop filter 1611 and it stays there as long as it is cachedby two tiles. If and when the line drops down to being accessed by twoor fewer tiles, it is moved back to the primary snoop filter 1610. Thisauxiliary snoop filter 1611 may be provisioned to hold up to 20% of thebaseline SF 1610 lines to avoid frequent capacity evictions andincreases the total area of the SF by 2% (compared to 57% for a perfectSF).

The design in FIG. 16A migrates the cache line between the two SFstructures 1610-1611, which may not be desirable for certainapplications. Hence, in a second embodiment shown in FIG. 16B, thebaseline SF 1610 exists in both modes (i.e., one sharer or N tiles perbit as indicated at 1612) but the auxiliary snoop filter 1611 acts likea cache for frequently accessed, widely shared lines. This design iscalled the “Cache” design. As long as a cache line has up to twosharers, it resides in the baseline SF 1610 as usual. If a third tileaccesses the line, it is maintained in the baseline SF 1610, which isswitched to coarse-grained mode (i.e., N tiles per bit or “Mode 1”). Inaddition, an entry is allocated for that cache line in the auxiliary SF1611 which tracks its CV bits perfectly (e.g., uses 1 bit per tile touniquely identify each tile). All subsequent updates to the cache lineare made to both the primary snoop filter 1610 and the auxiliary snoopfilter 1611 structures. A line can be dropped from the auxiliary SF 1611in the Cache design since an up-to-date coarse-grained version of theline exists in the baseline SF 1610 and no migration back to thebaseline SF is required. In this design, 20% of the lines do not need tobe active in the auxiliary SF 1611 since they already have a copy in thebaseline SF 1610, resulting in a 3-7% area increase of the SF.

Both the Overflow design and the Cache Design dramatically reduce thearea overhead of perfect tracking (2% and up to 7% respectively) ascompared to a perfect SF (57%) and are still able to achieve theperformance improvements from a perfect SF.

While the embodiments of the invention described herein focus on thesnoop filter structure, products with last-level caches (LLCs) also usesimilar encoding schemes for the CV bits. Consequently, the auxiliary SFstructure can be used for them as well. As mentioned, the embodiments ofthe invention may be utilized for any architecture comprising multiplecoherent caches.

A method in accordance with one embodiment of the invention isillustrated in FIG. 17. The method may be implemented within the contextof the system/processor architectures described above but is not limitedto any particular architecture.

At 1701 a first entry for a first cache line is allocated in a primarysnoop filter. As mentioned above, the entry may include a validindication, a current owner indication, and one or more sharerindications. Once the first cache line is being shared by more than Ncaches, determined at 1702, then a first auxiliary entry for the firstcache line is allocated in the auxiliary snoop filter at 1704. Until thecache line is being shared by more than N caches, then the first entryis maintained only in the primary snoop filter at 1703.

In the foregoing specification, the embodiments of invention have beendescribed with reference to specific exemplary embodiments thereof. Itwill, however, be evident that various modifications and changes may bemade thereto without departing from the broader spirit and scope of theinvention as set forth in the appended claims. The specification anddrawings are, accordingly, to be regarded in an illustrative rather thana restrictive sense.

Embodiments of the invention may include various steps, which have beendescribed above. The steps may be embodied in machine-executableinstructions which may be used to cause a general-purpose orspecial-purpose processor to perform the steps. Alternatively, thesesteps may be performed by specific hardware components that containhardwired logic for performing the steps, or by any combination ofprogrammed computer components and custom hardware components.

As described herein, instructions may refer to specific configurationsof hardware such as application specific integrated circuits (ASICs)configured to perform certain operations or having a predeterminedfunctionality or software instructions stored in memory embodied in anon-transitory computer readable medium. Thus, the techniques shown inthe Figures can be implemented using code and data stored and executedon one or more electronic devices (e.g., an end station, a networkelement, etc.). Such electronic devices store and communicate(internally and/or with other electronic devices over a network) codeand data using computer machine-readable media, such as non-transitorycomputer machine-readable storage media (e.g., magnetic disks; opticaldisks; random access memory; read only memory; flash memory devices;phase-change memory) and transitory computer machine-readablecommunication media (e.g., electrical, optical, acoustical or other formof propagated signals—such as carrier waves, infrared signals, digitalsignals, etc.). In addition, such electronic devices typically include aset of one or more processors coupled to one or more other components,such as one or more storage devices (non-transitory machine-readablestorage media), user input/output devices (e.g., a keyboard, atouchscreen, and/or a display), and network connections. The coupling ofthe set of processors and other components is typically through one ormore busses and bridges (also termed as bus controllers). The storagedevice and signals carrying the network traffic respectively representone or more machine-readable storage media and machine-readablecommunication media. Thus, the storage device of a given electronicdevice typically stores code and/or data for execution on the set of oneor more processors of that electronic device. Of course, one or moreparts of an embodiment of the invention may be implemented usingdifferent combinations of software, firmware, and/or hardware.Throughout this detailed description, for the purposes of explanation,numerous specific details were set forth in order to provide a thoroughunderstanding of the present invention. It will be apparent, however, toone skilled in the art that the invention may be practiced without someof these specific details. In certain instances, well known structuresand functions were not described in elaborate detail in order to avoidobscuring the subject matter of the present invention. Accordingly, thescope and spirit of the invention should be judged in terms of theclaims which follow.

What is claimed is:
 1. A processor comprising: a plurality of caches,each of the caches comprising a plurality of cache lines, at least someof which are to be shared by two or more of the caches; a snoop filterto monitor accesses to the plurality of cache lines shared by the two ormore caches, the snoop filter comprising: a primary snoop filtercomprising a first plurality of entries, each entry associated with oneof the plurality of cache lines and comprising a N unique identifiers touniquely identify up to N of the plurality of caches currently storingthe cache line; an auxiliary snoop filter comprising a second pluralityof entries, each entry associated with one of the plurality of cachelines, wherein once a particular cache line has been shared by more thanN caches, an entry for that cache line is allocated in the auxiliarysnoop filter to uniquely identify one or more additional caches storingthe cache line.
 2. The processor as in claim 1 wherein the N identifierscomprise first identification data uniquely identifying a current ownerof the cache line and second identification data uniquely identifying afirst sharer of the cache line.
 3. The processor as in claim 1 whereinonce the cache line is stored by more than the current owner and thefirst sharer, an allocation for the cache line is made in the auxiliarysnoop filter to uniquely identify one or more additional caches storingthe cache line.
 4. The processor as in claim 1 wherein a first entryassociated with a first cache line is to be initially stored in theprimary snoop filter but not in the auxiliary snoop filter, the firstentry to be copied from the primary snoop filter to the auxiliary snoopfilter when the first cache line has been shared by more than N caches.5. The processor as in claim 4 wherein the first entry is removed fromthe primary snoop filter upon being copied to the auxiliary snoopfilter, the first entry to be copied back to the primary snoop filterand removed from the auxiliary snoop filter upon being shared by N orfewer caches.
 6. The processor as in claim 1 wherein a first entryassociated with a first cache line is to be initially allocated in theprimary snoop filter, a first auxiliary entry to be allocated within theauxiliary snoop filter when the first cache line has been shared by morethan N caches, the first auxiliary entry to include identification datafor each individual cache sharing the first cache line.
 7. The processoras in claim 6 wherein the first entry in the primary snoop filterincludes coarse-grained identification data identifying a group ofcaches which may be caching the first cache line.
 8. The processor as inclaim 1 wherein the plurality of caches comprise a plurality ofintra-core caches.
 9. The processor as in claim 8 wherein the intra-corecaches comprise Level 1 (L1) and/or Level 2 (L2) caches.
 10. Theprocessor as in claim 9 wherein the plurality of caches include one ormore uncore caches.
 11. A method comprising: allocating a first entryfor a first cache line in a primary snoop filter, the first entrycomprising a N unique identifiers to uniquely identify up to N cachescurrently storing the cache line; detecting that a number of cachescurrently storing the first cache line is greater than N; andresponsively allocating a first auxiliary entry for the first cache linein an auxiliary snoop filter to uniquely identify one or more additionalcaches storing the cache line.
 12. The method as in claim 11 wherein theN identifiers comprise first identification data uniquely identifying acurrent owner of the first cache line and second identification datauniquely identifying a first sharer of the first cache line.
 13. Themethod as in claim 11 wherein once the first cache line is stored bymore than the current owner and the first sharer, an allocation for thefirst cache line is made in the auxiliary snoop filter to uniquelyidentify one or more additional caches storing the cache line.
 14. Themethod as in claim 11 wherein a first entry associated with the firstcache line is to be initially stored in the primary snoop filter but notin the auxiliary snoop filter, the first entry to be copied from theprimary snoop filter to the auxiliary snoop filter when the first cacheline has been shared by more than N caches.
 15. The method as in claim14 wherein the first entry is removed from the primary snoop filter uponbeing copied to the auxiliary snoop filter, the first entry to be copiedback to the primary snoop filter and removed from the auxiliary snoopfilter upon being shared by N or fewer caches.
 16. The method as inclaim 11 wherein a first auxiliary entry is to be allocated within theauxiliary snoop filter when the first cache line has been shared by morethan N caches, the first auxiliary entry to include identification datafor each individual cache sharing the first cache line.
 17. The methodas in claim 16 wherein the first entry in the primary snoop filterincludes coarse-grained identification data identifying a group ofcaches which may be caching the first cache line.
 18. The method as inclaim 11 wherein the plurality of caches comprise a plurality ofintra-core caches.
 19. The method as in claim 18 wherein the intra-corecaches comprise Level 1 (L1) and/or Level 2 (L2) caches.
 20. The methodas in claim 19 wherein the plurality of caches include one or moreuncore caches.
 21. A system comprising: a memory to store instructionsand data; a processor to execute the instructions and process the data;a graphics processor to perform graphics operations in response tographics instructions; a network interface to receive and transmit dataover a network; an interface for receiving user input from a mouse orcursor control device, the plurality of cores executing the instructionsand processing the data responsive to the user input; the processorcomprising: a plurality of caches, each of the caches comprising aplurality of cache lines, at least some of which are to be shared by twoor more of the caches; a snoop filter to monitor accesses to theplurality of cache lines shared by the two or more caches, the snoopfilter comprising: a primary snoop filter comprising a first pluralityof entries, each entry associated with one of the plurality of cachelines and comprising a N unique identifiers to uniquely identify up to Nof the plurality of caches currently storing the cache line; anauxiliary snoop filter comprising a second plurality of entries, eachentry associated with one of the plurality of cache lines, wherein oncea particular cache line has been shared by more than N caches, an entryfor that cache line is allocated in the auxiliary snoop filter touniquely identify one or more additional caches storing the cache line.22. The system as in claim 21 wherein the N identifiers comprise firstidentification data uniquely identifying a current owner of the cacheline and second identification data uniquely identifying a first sharerof the cache line.
 23. The system as in claim 21 wherein once the cacheline is stored by more than the current owner and the first sharer, anallocation for the cache line is made in the auxiliary snoop filter touniquely identify one or more additional caches storing the cache line.24. The system as in claim 21 wherein a first entry associated with afirst cache line is to be initially stored in the primary snoop filterbut not in the auxiliary snoop filter, the first entry to be copied fromthe primary snoop filter to the auxiliary snoop filter when the firstcache line has been shared by more than N caches.
 25. The system as inclaim 24 wherein the first entry is removed from the primary snoopfilter upon being copied to the auxiliary snoop filter, the first entryto be copied back to the primary snoop filter and removed from theauxiliary snoop filter upon being shared by N or fewer caches.